{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Main Driver file for [\"The Consumption Response to Trade Shocks: Evidence from the US-China Trade War\"](http://www.waugheconomics.com/uploads/2/2/5/6/22563786/waugh_consumption.pdf)\n",
    "\n",
    "This file will run all the notebooks from data construciton to regression results and generation of figures. \n",
    "\n",
    "**TODO: Add in data construction files and mapping files**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Table of Contents** with hyperlinks\n",
    "\n",
    "- [Data Construction](#data)\n",
    "- [Summary Statistics and Auto Results](#sum_stats)\n",
    "- [Export Results](#trade_stats)\n",
    "- [Employment Results](#emp_stats)\n",
    "- [Pretrend Autos](#pretrend_autos)\n",
    "- [Pretrend Employment](#pretrend_emp)\n",
    "- [Mapping](#mapping)\n",
    "\n",
    "None of these files depend upon each other. Just run the code cell below to activate the varible below. Also the auto results will not run as the data is not posted. Summary stats can be replicated via the employment notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Construction\n",
    "<a id='data'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Construct Tariff Series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run updated_tariff_data.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Construct Concordance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run alt_hs_naics_mapping.ipynb "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Construct County-Level Tariffs and Exports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Downloading and processing BLS file\n",
      "\n",
      "Type of zipfile object: <class 'zipfile.ZipFile'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\mwaugh\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2785: DtypeWarning: Columns (0) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Downloading and processing Trade Data\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "countylevel_tariffs_and_exports.ipynb:8: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  \"\\n\",\n",
      "C:\\Users\\mwaugh\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\pandas\\plotting\\_converter.py:129: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Constructing County-Level Tariffs and Exports\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "countylevel_tariffs_and_exports.ipynb:4: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  \"cell_type\": \"markdown\",\n",
      "countylevel_tariffs_and_exports.ipynb:4: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  \"cell_type\": \"markdown\",\n",
      "countylevel_tariffs_and_exports.ipynb:6: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  \"source\": [\n",
      "countylevel_tariffs_and_exports.ipynb:6: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  \"source\": [\n"
     ]
    }
   ],
   "source": [
    "%run countylevel_tariffs_and_exports.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Construct County-Level by Time Employment Statistics\n",
    "\n",
    "**TODO** update path variables so it correctly writes and pulls stuff from the correct places. Rightnow has sanbox stuff."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Downloading and processing 2019 BLS file\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Downloading and processing 2018 BLS file\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Downloading and processing 2017 BLS file\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Downloading and processing 2016 BLS file\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Constructing Employment Series\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\mwaugh\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2901: DtypeWarning: Columns (0) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  if self.run_code(code, result):\n"
     ]
    }
   ],
   "source": [
    "%run bls_single_file.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Summary Statistics, Simple Auto Results, Auto Regressions:\n",
    "### Table 1 thourgh Table 3, Figure 1 and Figure 2\n",
    "\n",
    "Not again, the auto notebook is not posted, but (i) summary stats can be replicated in the employment or trade notebooks and (ii) the pushed notebook will preserve the output to be seen.\n",
    "<a id='sum_stats'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "driver_flag = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# %run auto_trade_analysis.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Trade Results: Table 4\n",
    "<a id='trade_stats'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Raw Regression Total Trade Growth on Tariff Change\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:     total_trade_growth   R-squared:                        0.1076\n",
      "Estimator:                   PanelOLS   R-squared (Between):             -0.0191\n",
      "No. Observations:               51552   R-squared (Within):               0.1964\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.1076\n",
      "Time:                        08:51:05   Log-likelihood                 4.972e+04\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                   1.337e+04\n",
      "Entities:                        2864   P-value                           0.0000\n",
      "Avg Obs:                       18.000   Distribution:                 F(1,51550)\n",
      "Min Obs:                       18.000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             466.79\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,51550)\n",
      "Avg Obs:                       2864.0                                           \n",
      "Min Obs:                       2864.0                                           \n",
      "Max Obs:                       2864.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0534     0.0035     15.102     0.0000      0.0465      0.0603\n",
      "log_tariff_change    -4.3626     0.2019    -21.605     0.0000     -4.7584     -3.9668\n",
      "=====================================================================================\n",
      "\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Total Trade Growth on Tariff Change, Time Effect\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:     total_trade_growth   R-squared:                        0.0185\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0213\n",
      "No. Observations:               51552   R-squared (Within):               0.1027\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0692\n",
      "Time:                        08:51:05   Log-likelihood                 5.699e+04\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                   1.046e+04\n",
      "Entities:                        2864   P-value                           0.0000\n",
      "Avg Obs:                       18.000   Distribution:                 F(1,51533)\n",
      "Min Obs:                       18.000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             135.20\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,51533)\n",
      "Avg Obs:                       2864.0                                           \n",
      "Min Obs:                       2864.0                                           \n",
      "Max Obs:                       2864.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0400     0.0034     11.660     0.0000      0.0333      0.0468\n",
      "log_tariff_change    -1.7556     0.1510    -11.627     0.0000     -2.0516     -1.4597\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 988.28\n",
      "P-value: 0.0000\n",
      "Distribution: F(17,51533)\n",
      "\n",
      "Included effects: Time\n",
      "\n",
      "**********************************************************************************\n",
      "Total Trade Growth on Tariff Change, Time and County Effect\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:     total_trade_growth   R-squared:                        0.0144\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0210\n",
      "No. Observations:               51552   R-squared (Within):               0.0958\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0650\n",
      "Time:                        08:51:06   Log-likelihood                 8.055e+04\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                   1.037e+04\n",
      "Entities:                        2864   P-value                           0.0000\n",
      "Avg Obs:                       18.000   Distribution:                 F(1,48670)\n",
      "Min Obs:                       18.000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             146.47\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,48670)\n",
      "Avg Obs:                       2864.0                                           \n",
      "Min Obs:                       2864.0                                           \n",
      "Max Obs:                       2864.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0393     0.0007     57.430     0.0000      0.0380      0.0407\n",
      "log_tariff_change    -1.6167     0.1336    -12.102     0.0000     -1.8786     -1.3549\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 39.000\n",
      "P-value: 0.0000\n",
      "Distribution: F(2880,48670)\n",
      "\n",
      "Included effects: Entity, Time\n",
      "**********************************************************************************\n",
      "\n",
      "\n",
      "China Results\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Raw Regrssion China Trade Growth on Tariff Change\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:     china_trade_growth   R-squared:                        0.1692\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.1691\n",
      "No. Observations:               51552   R-squared (Within):               0.1693\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.1692\n",
      "Time:                        08:51:08   Log-likelihood                -1.942e+04\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      7520.1\n",
      "Entities:                        2864   P-value                           0.0000\n",
      "Avg Obs:                       18.000   Distribution:                 F(1,51550)\n",
      "Min Obs:                       18.000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             721.90\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,51550)\n",
      "Avg Obs:                       2864.0                                           \n",
      "Min Obs:                       2864.0                                           \n",
      "Max Obs:                       2864.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                -0.0165     0.0055    -2.9790     0.0029     -0.0274     -0.0056\n",
      "log_tariff_change    -21.678     0.8068    -26.868     0.0000     -23.259     -20.096\n",
      "=====================================================================================\n",
      "\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "China Trade Growth on Tariff Change, Time Effect\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:     china_trade_growth   R-squared:                        0.0648\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.1893\n",
      "No. Observations:               51552   R-squared (Within):               0.1343\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.1464\n",
      "Time:                        08:51:08   Log-likelihood                -1.544e+04\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      91.414\n",
      "Entities:                        2864   P-value                           0.0000\n",
      "Avg Obs:                       18.000   Distribution:                 F(1,51533)\n",
      "Min Obs:                       18.000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             275.49\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,51533)\n",
      "Avg Obs:                       2864.0                                           \n",
      "Min Obs:                       2864.0                                           \n",
      "Max Obs:                       2864.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                -0.0574     0.0077    -7.4922     0.0000     -0.0724     -0.0423\n",
      "log_tariff_change    -13.711     0.8260    -16.598     0.0000     -15.330     -12.092\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 505.65\n",
      "P-value: 0.0000\n",
      "Distribution: F(17,51533)\n",
      "\n",
      "Included effects: Time\n",
      "\n",
      "**********************************************************************************\n",
      "China Trade Growth on Tariff Change, Time and County Effect\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:     china_trade_growth   R-squared:                        0.0169\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.1636\n",
      "No. Observations:               51552   R-squared (Within):               0.1050\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.1179\n",
      "Time:                        08:51:09   Log-likelihood                   -7928.4\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      6111.4\n",
      "Entities:                        2864   P-value                           0.0000\n",
      "Avg Obs:                       18.000   Distribution:                 F(1,48670)\n",
      "Min Obs:                       18.000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             119.48\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,48670)\n",
      "Avg Obs:                       2864.0                                           \n",
      "Min Obs:                       2864.0                                           \n",
      "Max Obs:                       2864.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                -0.0777     0.0046    -17.002     0.0000     -0.0867     -0.0687\n",
      "log_tariff_change    -9.7427     0.8913    -10.931     0.0000     -11.490     -7.9957\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 9.4939\n",
      "P-value: 0.0000\n",
      "Distribution: F(2880,48670)\n",
      "\n",
      "Included effects: Entity, Time\n"
     ]
    }
   ],
   "source": [
    "%run trade_analysis.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Employment Results: Table 5 and Table 6\n",
    "\n",
    "### Total Employment Results\n",
    "<a id='emp_stats'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Raw Regression Employment Growth on Tariffs\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0053\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0054\n",
      "No. Observations:               56199   R-squared (Within):               0.0052\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0053\n",
      "Time:                        08:51:20   Log-likelihood                 1.299e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                   2.073e+04\n",
      "Entities:                        3128   P-value                           0.0000\n",
      "Avg Obs:                       17.966   Distribution:                 F(1,56197)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             32.391\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,56197)\n",
      "Avg Obs:                       3122.2                                           \n",
      "Min Obs:                       3119.0                                           \n",
      "Max Obs:                       3125.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0171     0.0007     23.066     0.0000      0.0156      0.0185\n",
      "log_tariff_change    -0.2403     0.0422    -5.6913     0.0000     -0.3230     -0.1575\n",
      "=====================================================================================\n",
      "\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Time fixed effcts\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0040\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0054\n",
      "No. Observations:               56199   R-squared (Within):               0.0052\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0053\n",
      "Time:                        08:51:20   Log-likelihood                   1.3e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                   2.074e+04\n",
      "Entities:                        3128   P-value                           0.0000\n",
      "Avg Obs:                       17.966   Distribution:                 F(1,56180)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             20.550\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,56180)\n",
      "Avg Obs:                       3122.2                                           \n",
      "Min Obs:                       3119.0                                           \n",
      "Max Obs:                       3125.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0171     0.0008     21.885     0.0000      0.0156      0.0186\n",
      "log_tariff_change    -0.2420     0.0534    -4.5332     0.0000     -0.3466     -0.1373\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 16.184\n",
      "P-value: 0.0000\n",
      "Distribution: F(17,56180)\n",
      "\n",
      "Included effects: Time\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Time and County-level fixed effcts\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0020\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0048\n",
      "No. Observations:               56199   R-squared (Within):               0.0052\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0050\n",
      "Time:                        08:51:21   Log-likelihood                 1.564e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                     3.3e+04\n",
      "Entities:                        3128   P-value                           0.0000\n",
      "Avg Obs:                       17.966   Distribution:                 F(1,53053)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             8.9989\n",
      "                                        P-value                           0.0027\n",
      "Time periods:                      18   Distribution:                 F(1,53053)\n",
      "Avg Obs:                       3122.2                                           \n",
      "Min Obs:                       3119.0                                           \n",
      "Max Obs:                       3125.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0168     0.0003     56.020     0.0000      0.0162      0.0173\n",
      "log_tariff_change    -0.1763     0.0588    -2.9998     0.0027     -0.2915     -0.0611\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 26.383\n",
      "P-value: 0.0000\n",
      "Distribution: F(3144,53053)\n",
      "\n",
      "Included effects: Entity, Time\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Interaction Specification\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0208\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0304\n",
      "No. Observations:               56181   R-squared (Within):               0.0166\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0249\n",
      "Time:                        08:51:25   Log-likelihood                 1.305e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      1160.1\n",
      "Entities:                        3125   P-value                           0.0000\n",
      "Avg Obs:                       17.978   Distribution:                F(19,56144)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             8.3551\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                F(19,56144)\n",
      "Avg Obs:                       3121.2                                           \n",
      "Min Obs:                       3119.0                                           \n",
      "Max Obs:                       3124.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0162     0.0014     11.820     0.0000      0.0135      0.0189\n",
      "log_tariff_change    -0.2573     0.0607    -4.2396     0.0000     -0.3763     -0.1384\n",
      "M[1, 2]_18_m          0.0251     0.0087     2.8948     0.0038      0.0081      0.0421\n",
      "M[3, 4]_18_m          0.0180     0.0088     2.0545     0.0399      0.0008      0.0351\n",
      "M[5, 6]_18_m          0.0191     0.0073     2.6063     0.0092      0.0047      0.0334\n",
      "M[7, 8]_18_m          0.0257     0.0076     3.3812     0.0007      0.0108      0.0406\n",
      "M[9, 10]_18_m         0.0318     0.0082     3.8705     0.0001      0.0157      0.0480\n",
      "M[11, 12]_18_m        0.0325     0.0089     3.6643     0.0002      0.0151      0.0498\n",
      "M[1, 2]_19_m          0.0139     0.0081     1.7023     0.0887     -0.0021      0.0298\n",
      "M[3, 4]_19_m          0.0079     0.0078     1.0168     0.3092     -0.0073      0.0232\n",
      "M[5, 6]_19_m          0.0080     0.0076     1.0607     0.2888     -0.0068      0.0229\n",
      "M[1, 2]_18_r         -0.0213     0.0029    -7.3089     0.0000     -0.0270     -0.0156\n",
      "M[3, 4]_18_r         -0.0182     0.0028    -6.5258     0.0000     -0.0236     -0.0127\n",
      "M[5, 6]_18_r         -0.0131     0.0026    -5.1129     0.0000     -0.0181     -0.0081\n",
      "M[7, 8]_18_r         -0.0145     0.0025    -5.7780     0.0000     -0.0195     -0.0096\n",
      "M[9, 10]_18_r        -0.0167     0.0025    -6.6159     0.0000     -0.0217     -0.0118\n",
      "M[11, 12]_18_r       -0.0145     0.0025    -5.7462     0.0000     -0.0194     -0.0096\n",
      "M[1, 2]_19_r         -0.0094     0.0023    -4.0852     0.0000     -0.0139     -0.0049\n",
      "M[3, 4]_19_r         -0.0107     0.0021    -4.9813     0.0000     -0.0149     -0.0065\n",
      "M[5, 6]_19_r         -0.0138     0.0021    -6.4707     0.0000     -0.0180     -0.0096\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 3.9256\n",
      "P-value: 0.0000\n",
      "Distribution: F(17,56144)\n",
      "\n",
      "Included effects: Time\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Aggregate Effects\n",
      "\n",
      "Total Lost Jobs 232627.9\n"
     ]
    }
   ],
   "source": [
    "emp_measure = \"emp_all\"\n",
    "\n",
    "%run employment_analysis.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### Goods-Producing Employment Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Raw Regression Employment Growth on Tariffs\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0036\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0052\n",
      "No. Observations:               55797   R-squared (Within):               0.0017\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0036\n",
      "Time:                        08:52:07   Log-likelihood                 8.464e+04\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      8083.4\n",
      "Entities:                        3120   P-value                           0.0000\n",
      "Avg Obs:                       17.884   Distribution:                 F(1,55795)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             26.843\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,55795)\n",
      "Avg Obs:                       3099.8                                           \n",
      "Min Obs:                       3087.0                                           \n",
      "Max Obs:                       3107.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0270     0.0016     16.891     0.0000      0.0238      0.0301\n",
      "log_tariff_change    -0.4379     0.0845    -5.1810     0.0000     -0.6035     -0.2722\n",
      "=====================================================================================\n",
      "\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Time fixed effcts\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0035\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0055\n",
      "No. Observations:               55797   R-squared (Within):               0.0012\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0035\n",
      "Time:                        08:52:08   Log-likelihood                 8.477e+04\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      8112.2\n",
      "Entities:                        3120   P-value                           0.0000\n",
      "Avg Obs:                       17.884   Distribution:                 F(1,55778)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             23.293\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                 F(1,55778)\n",
      "Avg Obs:                       3099.8                                           \n",
      "Min Obs:                       3087.0                                           \n",
      "Max Obs:                       3107.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0273     0.0017     16.385     0.0000      0.0240      0.0306\n",
      "log_tariff_change    -0.5055     0.1047    -4.8263     0.0000     -0.7108     -0.3002\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 15.197\n",
      "P-value: 0.0000\n",
      "Distribution: F(17,55778)\n",
      "\n",
      "Included effects: Time\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Time and County-level fixed effcts\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0014\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0047\n",
      "No. Observations:               55797   R-squared (Within):               0.0020\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0035\n",
      "Time:                        08:52:09   Log-likelihood                 1.068e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                     1.4e+04\n",
      "Entities:                        3120   P-value                           0.0000\n",
      "Avg Obs:                       17.884   Distribution:                 F(1,52659)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             7.6380\n",
      "                                        P-value                           0.0057\n",
      "Time periods:                      18   Distribution:                 F(1,52659)\n",
      "Avg Obs:                       3099.8                                           \n",
      "Min Obs:                       3087.0                                           \n",
      "Max Obs:                       3107.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0266     0.0007     40.287     0.0000      0.0253      0.0279\n",
      "log_tariff_change    -0.3581     0.1296    -2.7637     0.0057     -0.6120     -0.1041\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 20.302\n",
      "P-value: 0.0000\n",
      "Distribution: F(3136,52659)\n",
      "\n",
      "Included effects: Entity, Time\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Interaction Specification\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0044\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0058\n",
      "No. Observations:               55737   R-squared (Within):               0.0072\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0065\n",
      "Time:                        08:52:12   Log-likelihood                 8.471e+04\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      428.74\n",
      "Entities:                        3114   P-value                           0.0000\n",
      "Avg Obs:                       17.899   Distribution:                F(19,55700)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             5.2737\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                F(19,55700)\n",
      "Avg Obs:                       3096.5                                           \n",
      "Min Obs:                       3085.0                                           \n",
      "Max Obs:                       3104.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                 0.0284     0.0030     9.5949     0.0000      0.0226      0.0343\n",
      "log_tariff_change    -0.4724     0.1185    -3.9868     0.0001     -0.7047     -0.2402\n",
      "M[1, 2]_18_m          0.0046     0.0182     0.2537     0.7997     -0.0311      0.0404\n",
      "M[3, 4]_18_m         -0.0168     0.0178    -0.9410     0.3467     -0.0518      0.0182\n",
      "M[5, 6]_18_m         -0.0101     0.0150    -0.6727     0.5011     -0.0394      0.0193\n",
      "M[7, 8]_18_m         -0.0007     0.0158    -0.0437     0.9652     -0.0317      0.0303\n",
      "M[9, 10]_18_m         0.0054     0.0167     0.3206     0.7485     -0.0274      0.0381\n",
      "M[11, 12]_18_m        0.0117     0.0176     0.6626     0.5076     -0.0229      0.0463\n",
      "M[1, 2]_19_m         -0.0160     0.0179    -0.8985     0.3689     -0.0511      0.0190\n",
      "M[3, 4]_19_m         -0.0112     0.0171    -0.6567     0.5114     -0.0446      0.0222\n",
      "M[5, 6]_19_m         -0.0088     0.0167    -0.5255     0.5992     -0.0415      0.0240\n",
      "M[1, 2]_18_r         -0.0076     0.0068    -1.1093     0.2673     -0.0210      0.0058\n",
      "M[3, 4]_18_r         -0.0059     0.0066    -0.8994     0.3685     -0.0189      0.0070\n",
      "M[5, 6]_18_r         -0.0020     0.0061    -0.3172     0.7511     -0.0140      0.0101\n",
      "M[7, 8]_18_r         -0.0008     0.0061    -0.1298     0.8967     -0.0127      0.0111\n",
      "M[9, 10]_18_r        -0.0047     0.0058    -0.8153     0.4149     -0.0162      0.0067\n",
      "M[11, 12]_18_r       -0.0033     0.0056    -0.5945     0.5522     -0.0144      0.0077\n",
      "M[1, 2]_19_r          0.0096     0.0059     1.6293     0.1033     -0.0019      0.0211\n",
      "M[3, 4]_19_r          0.0011     0.0054     0.1984     0.8428     -0.0096      0.0117\n",
      "M[5, 6]_19_r         -0.0062     0.0054    -1.1534     0.2488     -0.0168      0.0044\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 3.8202\n",
      "P-value: 0.0000\n",
      "Distribution: F(17,55700)\n",
      "\n",
      "Included effects: Time\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Aggregate Effects\n",
      "\n",
      "Total Lost Jobs 102094.5\n"
     ]
    }
   ],
   "source": [
    "emp_measure = \"emp_gds\"\n",
    "\n",
    "%run employment_analysis.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "### Retail Employment Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Raw Regression Employment Growth on Tariffs\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0022\n",
      "Estimator:                   PanelOLS   R-squared (Between):             -0.0026\n",
      "No. Observations:               55053   R-squared (Within):               0.0069\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):              0.0022\n",
      "Time:                        08:52:55   Log-likelihood                 1.066e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      1292.3\n",
      "Entities:                        3082   P-value                           0.0000\n",
      "Avg Obs:                       17.863   Distribution:                 F(1,55051)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             14.594\n",
      "                                        P-value                           0.0001\n",
      "Time periods:                      18   Distribution:                 F(1,55051)\n",
      "Avg Obs:                       3058.5                                           \n",
      "Min Obs:                       3048.0                                           \n",
      "Max Obs:                       3068.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                -0.0054     0.0009    -6.0535     0.0000     -0.0072     -0.0037\n",
      "log_tariff_change    -0.2271     0.0594    -3.8202     0.0001     -0.3436     -0.1106\n",
      "=====================================================================================\n",
      "\n",
      "\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Time fixed effcts\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0001\n",
      "Estimator:                   PanelOLS   R-squared (Between):          -4.101e-05\n",
      "No. Observations:               55053   R-squared (Within):              -0.0029\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):             -0.0015\n",
      "Time:                        08:52:55   Log-likelihood                 1.071e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      1195.3\n",
      "Entities:                        3082   P-value                           0.0000\n",
      "Avg Obs:                       17.863   Distribution:                 F(1,55034)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             1.0543\n",
      "                                        P-value                           0.3045\n",
      "Time periods:                      18   Distribution:                 F(1,55034)\n",
      "Avg Obs:                       3058.5                                           \n",
      "Min Obs:                       3048.0                                           \n",
      "Max Obs:                       3068.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                -0.0069     0.0009    -7.5710     0.0000     -0.0087     -0.0051\n",
      "log_tariff_change     0.0668     0.0650     1.0268     0.3045     -0.0607      0.1942\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 52.435\n",
      "P-value: 0.0000\n",
      "Distribution: F(17,55034)\n",
      "\n",
      "Included effects: Time\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Time and County-level fixed effcts\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0004\n",
      "Estimator:                   PanelOLS   R-squared (Between):             -0.0005\n",
      "No. Observations:               55053   R-squared (Within):              -0.0065\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):             -0.0035\n",
      "Time:                        08:52:56   Log-likelihood                 1.263e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      2093.5\n",
      "Entities:                        3082   P-value                           0.0000\n",
      "Avg Obs:                       17.863   Distribution:                 F(1,51953)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             2.8504\n",
      "                                        P-value                           0.0914\n",
      "Time periods:                      18   Distribution:                 F(1,51953)\n",
      "Avg Obs:                       3058.5                                           \n",
      "Min Obs:                       3048.0                                           \n",
      "Max Obs:                       3068.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                -0.0073     0.0004    -17.641     0.0000     -0.0081     -0.0065\n",
      "log_tariff_change     0.1375     0.0814     1.6883     0.0914     -0.0221      0.2971\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 17.514\n",
      "P-value: 0.0000\n",
      "Distribution: F(3098,51953)\n",
      "\n",
      "Included effects: Entity, Time\n",
      "\n",
      "**********************************************************************************\n",
      "Employment Growth on Tariff Change, Interaction Specification\n",
      "\n",
      "                          PanelOLS Estimation Summary                           \n",
      "================================================================================\n",
      "Dep. Variable:      employment_growth   R-squared:                        0.0048\n",
      "Estimator:                   PanelOLS   R-squared (Between):              0.0052\n",
      "No. Observations:               54927   R-squared (Within):              -0.0274\n",
      "Date:                Tue, Dec 17 2019   R-squared (Overall):             -0.0113\n",
      "Time:                        08:53:00   Log-likelihood                  1.07e+05\n",
      "Cov. Estimator:             Clustered                                           \n",
      "                                        F-statistic:                      76.828\n",
      "Entities:                        3075   P-value                           0.0000\n",
      "Avg Obs:                       17.862   Distribution:                F(19,54890)\n",
      "Min Obs:                       3.0000                                           \n",
      "Max Obs:                       18.000   F-statistic (robust):             6.1443\n",
      "                                        P-value                           0.0000\n",
      "Time periods:                      18   Distribution:                F(19,54890)\n",
      "Avg Obs:                       3051.5                                           \n",
      "Min Obs:                       3041.0                                           \n",
      "Max Obs:                       3061.0                                           \n",
      "                                                                                \n",
      "                                 Parameter Estimates                                 \n",
      "=====================================================================================\n",
      "                   Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "-------------------------------------------------------------------------------------\n",
      "const                -0.0096     0.0016    -6.1815     0.0000     -0.0127     -0.0066\n",
      "log_tariff_change    -0.1975     0.0788    -2.5081     0.0121     -0.3519     -0.0432\n",
      "M[1, 2]_18_m          0.0015     0.0092     0.1653     0.8687     -0.0165      0.0196\n",
      "M[3, 4]_18_m          0.0092     0.0089     1.0265     0.3047     -0.0083      0.0266\n",
      "M[5, 6]_18_m          0.0155     0.0088     1.7467     0.0807     -0.0019      0.0328\n",
      "M[7, 8]_18_m          0.0193     0.0092     2.0919     0.0364      0.0012      0.0374\n",
      "M[9, 10]_18_m         0.0249     0.0102     2.4282     0.0152      0.0048      0.0449\n",
      "M[11, 12]_18_m        0.0331     0.0111     2.9764     0.0029      0.0113      0.0549\n",
      "M[1, 2]_19_m          0.0291     0.0105     2.7787     0.0055      0.0086      0.0496\n",
      "M[3, 4]_19_m          0.0248     0.0104     2.3840     0.0171      0.0044      0.0451\n",
      "M[5, 6]_19_m          0.0289     0.0104     2.7806     0.0054      0.0085      0.0492\n",
      "M[1, 2]_18_r         -0.0096     0.0038    -2.5430     0.0110     -0.0170     -0.0022\n",
      "M[3, 4]_18_r         -0.0045     0.0036    -1.2564     0.2090     -0.0115      0.0025\n",
      "M[5, 6]_18_r         -0.0008     0.0033    -0.2405     0.8100     -0.0074      0.0058\n",
      "M[7, 8]_18_r         -0.0013     0.0033    -0.3975     0.6910     -0.0078      0.0052\n",
      "M[9, 10]_18_r        -0.0027     0.0034    -0.7915     0.4287     -0.0093      0.0040\n",
      "M[11, 12]_18_r        0.0052     0.0034     1.4975     0.1343     -0.0016      0.0119\n",
      "M[1, 2]_19_r          0.0072     0.0032     2.2577     0.0240      0.0010      0.0135\n",
      "M[3, 4]_19_r          0.0064     0.0033     1.9365     0.0528  -7.763e-05      0.0129\n",
      "M[5, 6]_19_r          0.0063     0.0034     1.8638     0.0624     -0.0003      0.0128\n",
      "=====================================================================================\n",
      "\n",
      "F-test for Poolability: 25.058\n",
      "P-value: 0.0000\n",
      "Distribution: F(17,54890)\n",
      "\n",
      "Included effects: Time\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Aggregate Effects\n",
      "\n",
      "Total Lost Jobs 22498.6\n",
      "Total Consumperion, Billions 19.8\n",
      "Consumption Loss Per Worker, Most Exposed: 629.515\n",
      "Consumption Loss Per Worker, Least Exposed: 46.849\n"
     ]
    }
   ],
   "source": [
    "emp_measure = \"emp_rtl\"\n",
    "\n",
    "%run employment_analysis.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Pretrend Figures for Autos, Figure 4\n",
    "<a id='pretrend_autos'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:root:File `'pretrends_autos.ipynb.py'` not found.\n"
     ]
    }
   ],
   "source": [
    "%run pretrends_autos.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Pretrend Figures for Employment, Figures 5a - 5c\n",
    "<a id='pretrend_emp'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total Employment Figure 5a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(97560, 1)\n",
      "(97560,)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "emp_measure = \"emp_all\"\n",
    "\n",
    "%run pretrend_notebook.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Goods-Producing Employment Figure 5b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(97560, 1)\n",
      "(97560,)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "emp_measure = \"emp_gds\"\n",
    "\n",
    "%run pretrend_notebook.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Retail Employment Figure 5c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(97560, 1)\n",
      "(97560,)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "emp_measure = \"emp_rtl\"\n",
    "\n",
    "%run pretrend_notebook.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Mapping\n",
    "<a id='mapping'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:Fiona:GDAL data files not located, GDAL_DATA not set\n",
      "WARNING:Fiona:PROJ data files not located, PROJ_LIB not set\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "**********************************************************************************\n",
      "Downloading Shape files\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:Fiona:GDAL data files not located, GDAL_DATA not set\n",
      "WARNING:Fiona:PROJ data files not located, PROJ_LIB not set\n",
      "WARNING:Fiona:GDAL data files not located, GDAL_DATA not set\n",
      "WARNING:Fiona:PROJ data files not located, PROJ_LIB not set\n",
      "WARNING:Fiona:GDAL data files not located, GDAL_DATA not set\n",
      "WARNING:Fiona:PROJ data files not located, PROJ_LIB not set\n",
      "WARNING:Fiona:GDAL data files not located, GDAL_DATA not set\n",
      "WARNING:Fiona:PROJ data files not located, PROJ_LIB not set\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%run tariff_map.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
